The growth rate of our system may be modeled as a function of growth temperature and chaperons expressed, as governed by the Ratkowsky’s equation:
R(T,chap)= a * [(T - Tmin) * (1 - eb*(T - Tmax))]2
where, T : Temperature at which the culture is grown
Tmin : Minimum temperature below which growth is insignificant
Tmax: Limiting temperature above which growth is insignificant
a, b: Constants unique to the modified bacterial strain (reflects effect of TF)
For temperatures below that of optimum growth, the value of b is large (as b is a regression constant indicative of the decline of growth beyond the optimum temperature) therefore the second term within the bracket reduces to 1. Thus, the linear part of this equation can give a good estimate of the dependence of growth rates on temperatures which are below the optimum temperature. Hence, this may be simplified as:
√r = k (T - Tmin)
Hereon, the idea is to obtain growth curves of the system(both with and without the inserts) at different temperatures, so that we may plot the square root of growth rates as a linear function of temperature. Points obtained from the experiments are fitted into a linear equation, from which the slope and x-intercept are determined.